AI exposure by occupation, O*NET 17-3026.01
Will AI replace Nanotechnology Engineering Technologists and Technicians?
Nanotechnology Engineering Technologists and Technicians: AI can already handle 17 of 25 tasks; the work mostly needs a standard-tier model.
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Every task, scored
The 25 tasks O*NET 30.3 lists for Nanotechnology Engineering Technologists and Technicians, from most to least exposed. 17 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Produce images or measurements, using tools or techniques such as atomic force microscopy, scanning electron microscopy, optical microscopy, particle size analysis, or zeta potential analysis. | Estimated | Standard | |
| Collect or compile nanotechnology research or engineering data. | Estimated | Efficient | |
| Calibrate nanotechnology equipment, such as weighing, testing, or production equipment. | Estimated | Efficient | |
| Assist nanoscientists or engineers in processing or characterizing materials according to physical or chemical properties. | Estimated | Standard | |
| Operate nanotechnology compounding, testing, processing, or production equipment in accordance with appropriate standard operating procedures, good manufacturing practices, hazardous material restrictions, or health and safety requirements. | Estimated | Efficient | |
| Monitor equipment during operation to ensure adherence to specifications for characteristics such as pressure, temperature, or flow. | Estimated | Standard | |
| Monitor hazardous waste cleanup procedures to ensure proper application of nanocomposites or accomplishment of objectives. | Estimated | Standard | |
| Measure or mix chemicals or compounds in accordance with detailed instructions or formulas. | Estimated | Efficient | |
| Prepare detailed verbal or written presentations for scientists, engineers, project managers, or upper management. | Estimated | Efficient | |
| Contribute written material or data for grant or patent applications. | Estimated | Efficient | |
| Measure emission of nanodust or nanoparticles during nanocomposite or other nano-scale production processes, using systems such as aerosol detection systems. | Estimated | Efficient | |
| Implement new or enhanced methods or processes for the processing, testing, or manufacture of nanotechnology materials or products. | Estimated | Frontier | |
| Perform functional tests of nano-enhanced assemblies, components, or systems, using equipment such as torque gauges or conductivity meters. | Estimated | Standard | |
| Assist nanoscientists or engineers in writing process specifications or documentation. | Estimated | Efficient | |
| Compare the performance or environmental impact of nanomaterials by nanoparticle size, shape, or organization. | Estimated | Efficient | |
| Process nanoparticles or nanostructures, using technologies such as ultraviolet radiation, microwave energy, or catalysis. | Estimated | Efficient | |
| Analyze the life cycle of nanomaterials or nano-enabled products to determine environmental impact. | Estimated | Efficient | |
| Collaborate with scientists or engineers to design or conduct experiments for the development of nanotechnology materials, components, devices, or systems. | Estimated | Efficient | |
| Develop or modify wet chemical or industrial laboratory experimental techniques for nanoscale use. | Estimated | Frontier | |
| Prepare capability data, training materials, or other documentation for transfer of processes to production. | Estimated | Efficient | |
| Maintain accurate record or batch-record documentation of nanoproduction. | Estimated | Efficient | |
| Maintain work area according to cleanroom or other processing standards. | Estimated | Efficient | |
| Repair nanotechnology processing or testing equipment or submit work orders for equipment repair. | Estimated | Efficient | |
| Inspect or measure thin films of carbon nanotubes, polymers, or inorganic coatings, using a variety of techniques or analytical tools. | Estimated | Efficient | |
| Assemble components, using techniques such as interference fitting, solvent bonding, adhesive bonding, heat sealing, or ultrasonic welding. | Estimated | No tier |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 25 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 25 of 25. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.
The model tier this role needs
A standard-tier model or lower covers 89% of the role's importance-weighted task work. 97% of the work is something AI can address at some tier, and 3% is hands-on.
Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.
Wages, employment and outlook
- US employment
- 75,570
- Median annual wage
- $66,120
- Middle half of earners
- $55,760 to $80,280
- Projected change, 2024 to 2034
- +1.7%
Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034. BLS publishes these figures by SOC code, so O*NET occupations that share a SOC code show the same figures.
Adjacent roles
The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.
- Nanosystems Engineers 78% skill overlap, about 8 months to move Exposure57
- Mechanical Engineering Technologists and Technicians 72% skill overlap, about 10 months to move Exposure49
- Industrial Engineering Technologists and Technicians 71% skill overlap, about 10 months to move Exposure65
- Environmental Engineering Technologists and Technicians 71% skill overlap, about 10 months to move Exposure43
- Nuclear Technicians 70% skill overlap, about 11 months to move Exposure23
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Nanotechnology Engineering Technologists and Technicians and AI
Will AI replace Nanotechnology Engineering Technologists and Technicians?
AI already handles 17 of the 25 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 61 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +1.7% from 2024 to 2034.
What is the AI exposure of Nanotechnology Engineering Technologists and Technicians?
61 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 25 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 25 are estimated from each task's O*NET work activity.
Which Nanotechnology Engineering Technologists and Technicians tasks can AI already do?
The tasks with the highest exposure are: Produce images or measurements, using tools or techniques such as atomic force microscopy, scanning electron microscopy, optical microscopy, particle size analysis, or zeta potential analysis; Collect or compile nanotechnology research or engineering data; Calibrate nanotechnology equipment, such as weighing, testing, or production equipment. They are three of the 17 tasks that reach 60 or more.
What AI model tier does this role need?
A standard-tier model or lower covers 89% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.
How many people work as Nanotechnology Engineering Technologists and Technicians, and what do they earn?
75,570 people in the United States, with a median annual wage of $66,120 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +1.7% from 2024 to 2034.
How to cite
Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.
JobRoute (2026). AI exposure: Nanotechnology Engineering Technologists and Technicians. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/nanotechnology-engineering-technologists-and-technicians
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